On a Network SIS Epidemic Model with Cooperative and Antagonistic Opinion Dynamics

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: She, Baike, Liu, Ji, Sundaram, Shreyas, Paré, Philip E.
Formato: Preprint
Publicado: 2021
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866916800980058112
author She, Baike
Liu, Ji
Sundaram, Shreyas
Paré, Philip E.
author_facet She, Baike
Liu, Ji
Sundaram, Shreyas
Paré, Philip E.
contents We propose a mathematical model to study coupled epidemic and opinion dynamics in a network of communities. Our model captures SIS epidemic dynamics whose evolution is dependent on the opinions of the communities toward the epidemic, and vice versa. In particular, we allow both cooperative and antagonistic interactions, representing similar and opposing perspectives on the severity of the epidemic, respectively. We propose an Opinion-Dependent Reproduction Number to characterize the mutual influence between epidemic spreading and opinion dissemination over the networks. Through stability analysis of the equilibria, we explore the impact of opinions on both epidemic outbreak and eradication, characterized by bounds on the Opinion-Dependent Reproduction Number. We also show how to eradicate epidemics by reshaping the opinions, offering researchers an approach for designing control strategies to reach target audiences to ensure effective epidemic suppression.
format Preprint
id arxiv_https___arxiv_org_abs_2102_12834
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle On a Network SIS Epidemic Model with Cooperative and Antagonistic Opinion Dynamics
She, Baike
Liu, Ji
Sundaram, Shreyas
Paré, Philip E.
Systems and Control
Physics and Society
We propose a mathematical model to study coupled epidemic and opinion dynamics in a network of communities. Our model captures SIS epidemic dynamics whose evolution is dependent on the opinions of the communities toward the epidemic, and vice versa. In particular, we allow both cooperative and antagonistic interactions, representing similar and opposing perspectives on the severity of the epidemic, respectively. We propose an Opinion-Dependent Reproduction Number to characterize the mutual influence between epidemic spreading and opinion dissemination over the networks. Through stability analysis of the equilibria, we explore the impact of opinions on both epidemic outbreak and eradication, characterized by bounds on the Opinion-Dependent Reproduction Number. We also show how to eradicate epidemics by reshaping the opinions, offering researchers an approach for designing control strategies to reach target audiences to ensure effective epidemic suppression.
title On a Network SIS Epidemic Model with Cooperative and Antagonistic Opinion Dynamics
topic Systems and Control
Physics and Society
url https://arxiv.org/abs/2102.12834